{"as_of":"2026-08-17T17:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:893dd0fc39240194052d160b0eec789f290f479a84013073c12a428bc854c1d6","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T23:41:46.690422Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T01:18:31.914413Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.16899","snapshot_observed_at":"2026-07-14T01:18:31.914413Z","title":"Towards effective comple- mentary security analysis using large language mod- els, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.09979","last_updated":"2026-07-10T21:09:01Z","snapshot_observed_at":"2026-08-16T10:23:30.372116Z","submitted_at":"2026-07-10T21:09:01Z","title":"Using LLMs to Adjudicate Static-Analysis Alerts with Error Reduction Techniques","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-14T01:18:31.914413Z"},"links":{"cited_paper":"/paper/2506.16899","citing_paper":"/paper/2607.09979"},"observation_digest":"sha256:b5ba17f4895e6c61c35cc1c1d11fd8128771d77bc7584cc57e07200b607fbd15","observation_id":"80e54d5b-d432-4bb8-890c-09fe48f818ff","resolution":{"observed_at":"2026-07-14T01:18:31.914413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2506.16899/citation-record","integrity":"/paper/2506.16899/integrity","json":"/paper/2506.16899/citation-record.json","paper":"/paper/2506.16899"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.448406Z","title":"Mitigating False Positive Static Analysis Warnings: Progress, Challenges, and Opportunities,","venue":null,"work_id":"8e500ed1-c98d-4746-afca-6edb7042230e","year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:45.544501Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:21797e791e98eadda578a683bf34598b00f00ec7278993ce00905c83ddd7eab0","observation_id":"9cb41de0-a8bc-47cb-be04-c05899dcb733","resolution":{"observed_at":"2026-08-06T23:41:47.453602Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.433444Z","title":"“False negative - that one is going to kill you","venue":null,"work_id":"6160196a-e732-4390-a912-1c06ce816b12","year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:45.636321Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:5c204218b538a6aaa9c0424ffceec40be4c7c0d1dcab9e51f35d83177ed8a3d4","observation_id":"83a0363d-fc13-4c8c-9230-d41e2b32548e","resolution":{"observed_at":"2026-08-06T23:41:47.438322Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.417024Z","title":"Static program analysis,","venue":null,"work_id":"14c6da82-cb1f-4a5e-a4cc-b6d548434164","year":2018},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:45.792039Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:47491fa71fb91ab4e8d26fafbfd952b2760f3dca2ac6fcdf23b26d8846e58ace","observation_id":"3ada2d50-30c2-479e-9034-90202153ba50","resolution":{"observed_at":"2026-08-06T23:41:47.422290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:45.947914Z","title":"OW ASP Benchmark Project,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:45.947914Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:e416092442b11101cf281481241c05c30e20605b800c2e49f5a483fd50f47599","observation_id":"87338e61-cf0a-4d8b-ab7e-b10dbbadf28b","resolution":{"observed_at":"2026-08-06T23:41:45.947914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.400943Z","title":"Learning a classifier for false positive error reports emitted by static code analysis tools,","venue":null,"work_id":"cdefb5ed-3fba-4d48-892f-67c8ef01dd82","year":2017},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.054099Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:c3769994da43dbe6bb75476ec2565adbb08abe08cb6778a4ed1dfbb4f31303b8","observation_id":"076fa0a3-59e9-4bd9-ba29-92cf9662cb08","resolution":{"observed_at":"2026-08-06T23:41:47.405562Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.385496Z","title":"An Empirical Assessment of Machine Learning Approaches for Triaging Reports of a Java Static Analysis Tool,","venue":null,"work_id":"6c678c19-13de-435d-93d0-1dcecdd05025","year":2019},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.151068Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:4344c94f074a4fa1cf8be14d94723282b93786c9d7b6b3721c5d91e11a74c45b","observation_id":"08922e7a-55bf-41ea-8c79-e64c9a721be1","resolution":{"observed_at":"2026-08-06T23:41:47.390041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.369665Z","title":"Transformer-Based Language Models for Software Vul- nerability Detection,","venue":null,"work_id":"b78aa305-2420-48cf-8332-2706ab19e8f9","year":2022},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.156497Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:4ec4d9b34f1ab6f59144ed175d05508dee8e86938ee4c247c6936cbf3119f15c","observation_id":"84594f92-3806-41d5-a625-140ff8f0df8e","resolution":{"observed_at":"2026-08-06T23:41:47.374626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.14434","last_updated":"2023-08-28T09:21:37Z","snapshot_observed_at":"2026-08-16T15:05:20.081192Z","submitted_at":"2023-08-28T09:21:37Z","title":"Using ChatGPT as a Static Application Security Testing Tool","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.14434","snapshot_observed_at":"2026-08-06T23:41:46.160882Z","title":"Using ChatGPT as a Static Application Security Testing Tool,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.160882Z"},"links":{"cited_paper":"/paper/2308.14434","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:f6db577e8e11a2b39e6ad49102d26445f258210ea47cf443a811cea5a3b8c392","observation_id":"27774452-47e4-4691-b26a-408517296aa1","resolution":{"observed_at":"2026-08-06T23:41:46.160882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08429","last_updated":"2024-03-13T11:29:13Z","snapshot_observed_at":"2026-08-16T14:10:14.539647Z","submitted_at":"2024-03-13T11:29:13Z","title":"Software Vulnerability and Functionality Assessment using LLMs","version":1},"cited_work":{"arxiv_id":"2403.08429","doi":null,"metadata_source":"pith","pith_arxiv_id":"2403.08429","snapshot_observed_at":"2026-08-06T23:41:47.185430Z","title":"Software Vulnerability and Functionality Assessment using LLMs","venue":"cs.SE","work_id":"86ebaa0a-0684-41ee-b7a0-5f040ac8ab20","year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.169877Z"},"links":{"cited_paper":"/paper/2403.08429","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:ea66c398f5a7a28652a18c2e5b9a1aa18377f945875f758144112406aff568e0","observation_id":"1d425d4d-cb16-475b-aedb-48e4558ce4ab","resolution":{"observed_at":"2026-08-06T23:41:47.190514Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.352809Z","title":"Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?","venue":null,"work_id":"7fda273a-919b-4fd6-92ae-9f3e10a513ce","year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.291933Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:e9f761163770337eeab6ff1b5587bb0e74cd42ee148e02feeb119454079251fb","observation_id":"0bbd5b5d-4d2d-4431-a8c5-132f3d110d2a","resolution":{"observed_at":"2026-08-06T23:41:47.358496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:47.335250Z","title":"Assisting Static Analysis with Large Language Models: A ChatGPT Experiment,","venue":null,"work_id":"ab8332a1-205b-4fb6-9a11-1fb593d4efaf","year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.452695Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:349699ab6a60b59c7a789872573489de362403dc108522c227b6ce547aa001c4","observation_id":"fbfedb1d-6974-4b63-b87f-0f7964c37ce2","resolution":{"observed_at":"2026-08-06T23:41:47.340764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.16235","last_updated":"2024-07-23T07:21:14Z","snapshot_observed_at":"2026-08-16T13:31:53.298896Z","submitted_at":"2024-07-23T07:21:14Z","title":"Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.16235","snapshot_observed_at":"2026-08-06T23:41:46.598131Z","title":"Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.598131Z"},"links":{"cited_paper":"/paper/2407.16235","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:2a7b73b5b01a0b6beb038ba253dbc93f42e3787b9b27869dd1f083134a783125","observation_id":"cb8f4a6b-24bc-4464-9a2b-d51be20eff7a","resolution":{"observed_at":"2026-08-06T23:41:46.598131Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15614","last_updated":"2024-05-24T14:59:19Z","snapshot_observed_at":"2026-08-16T13:49:42.721195Z","submitted_at":"2024-05-24T14:59:19Z","title":"Harnessing Large Language Models for Software Vulnerability Detection: A Comprehensive Benchmarking Study","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.15614","snapshot_observed_at":"2026-08-06T23:41:46.609494Z","title":"Harnessing Large Language Mod- els for Software Vulnerability Detection: A Comprehensive Bench- marking Study,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.609494Z"},"links":{"cited_paper":"/paper/2405.15614","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:61a411200c0017cb1e89a335f7190ae19ac7543b01021296c05a51731fa7a235","observation_id":"8b998abd-7367-4d69-a07a-79415f5c721c","resolution":{"observed_at":"2026-08-06T23:41:46.609494Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16452","last_updated":"2023-11-28T03:16:12Z","snapshot_observed_at":"2026-08-16T14:39:48.082697Z","submitted_at":"2023-11-28T03:16:12Z","title":"Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16452","snapshot_observed_at":"2026-08-06T23:41:46.615026Z","title":"Can Generalist Foundation Models Outcompete Special-Purpose Tuning? Case Study in Medicine,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.615026Z"},"links":{"cited_paper":"/paper/2311.16452","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:ebf9ae2b8c2aa01981b348d0440a2f8c91cbbfa11494f9fac8486847069128ee","observation_id":"d5bf19ba-eb2d-412d-a731-3b80054b4a6a","resolution":{"observed_at":"2026-08-06T23:41:46.615026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-08-13T07:04:41.220509Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-06T23:41:46.619957Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.619957Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:d3cb499e7dc5c8f8507b7bf3f422a8027626863bde24b5c9c7ceb41effc05811","observation_id":"d2b4b2a2-79e8-48d5-a403-818b50b76495","resolution":{"observed_at":"2026-08-06T23:41:46.619957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2205.11916","last_updated":"2023-01-29T05:14:17Z","snapshot_observed_at":"2026-08-13T05:54:24.242465Z","submitted_at":"2022-05-24T09:22:26Z","title":"Large Language Models are Zero-Shot Reasoners","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2205.11916","snapshot_observed_at":"2026-08-06T23:41:46.625292Z","title":"Large Language Models are Zero-Shot Reasoners,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.625292Z"},"links":{"cited_paper":"/paper/2205.11916","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:6927665071d6b289dae40c3f0b02ce83ed9fcc5cf4429ff70d6e7d4821f6a555","observation_id":"8024e4a0-f5b8-4844-ad6d-2af7da4dd1bb","resolution":{"observed_at":"2026-08-06T23:41:46.625292Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.11171","last_updated":"2023-03-07T17:57:37Z","snapshot_observed_at":"2026-08-16T01:49:22.176843Z","submitted_at":"2022-03-21T17:48:52Z","title":"Self-Consistency Improves Chain of Thought Reasoning in Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.11171","snapshot_observed_at":"2026-08-06T23:41:46.630960Z","title":"Self- Consistency Improves Chain of Thought Reasoning in Language Models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.630960Z"},"links":{"cited_paper":"/paper/2203.11171","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:5a043850bb18d52b36a2c895ab990a7833c59471093cfd077c1192c2a1b9f309","observation_id":"94638329-1b7c-4d34-843c-0fae1fc56fd5","resolution":{"observed_at":"2026-08-06T23:41:46.630960Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.5281/zenodo.15378450","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Towards efficient complementary security analysis using large language models,","venue":"Zenodo (CERN European Organization for Nuclear Research)","work_id":"d97b0136-9c12-4487-b62d-13f8854b1c90","year":2025},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.635693Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:81a30935b9546c22ecaa79c2f8812def550e6e8a5595a97c471168446ba66714","observation_id":"96f97f14-28f4-4d71-8c73-9ea9b1283cb3","resolution":{"observed_at":"2026-08-06T23:41:46.739588Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:46.641132Z","title":"A review of the f-measure: Its history, properties, criticism, and alternatives,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.641132Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:08bef3e0f0e50a6435f831a04912a4a8b645c2f24a8541ff077e05e4119e03d2","observation_id":"fae75a2d-1e6b-4e7c-b77d-519998a2c8e9","resolution":{"observed_at":"2026-08-06T23:41:46.641132Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-06T23:41:46.646060Z","title":"GPT-4 Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.646060Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:c6d473fdc8b1e33c595422205ee0b8e98a72c39e80572697a0dce5cabe64401d","observation_id":"0e0348c8-85aa-4385-9156-d123df51355c","resolution":{"observed_at":"2026-08-06T23:41:46.646060Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T23:41:46.650668Z","title":"Hello GPT-4o,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.650668Z"},"links":{"citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:b508accddbdf5a565337cf0d4c35bcf261df8efbd36f16abdd02fcaaacacc8d9","observation_id":"8b4aa529-3f3d-4114-a444-d1cdd1258a45","resolution":{"observed_at":"2026-08-06T23:41:46.650668Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-08-13T17:20:44.002518Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-08-06T23:41:46.655346Z","title":"The Llama 3 Herd of Models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.655346Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:e5754b308f09ef70ad45c543a85bf09cca82c6257a35344fd89ce1404695c526","observation_id":"5b1ae577-43f4-4186-82a3-698e2c458983","resolution":{"observed_at":"2026-08-06T23:41:46.655346Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05530","last_updated":"2024-12-16T17:39:39Z","snapshot_observed_at":"2026-08-14T18:15:53.516440Z","submitted_at":"2024-03-08T18:54:20Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05530","snapshot_observed_at":"2026-08-06T23:41:46.660513Z","title":"Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.660513Z"},"links":{"cited_paper":"/paper/2403.05530","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:3710872b8a7fb8c18da4cb1d2c92f580d654431bca312070e16817cdca271c1c","observation_id":"259092a0-9785-47ca-9efe-28475ef1c733","resolution":{"observed_at":"2026-08-06T23:41:46.660513Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14219","last_updated":"2024-08-30T21:17:17Z","snapshot_observed_at":"2026-08-17T03:25:04.404839Z","submitted_at":"2024-04-22T14:32:33Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14219","snapshot_observed_at":"2026-08-06T23:41:46.665453Z","title":"Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.665453Z"},"links":{"cited_paper":"/paper/2404.14219","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:f3e9254d7bb5120378298ccb7d427fe98b6326007586cab5458e0c84923a046d","observation_id":"047ed3cf-b404-46ab-af9a-4ecb6a668334","resolution":{"observed_at":"2026-08-06T23:41:46.665453Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.08905","last_updated":"2024-12-12T03:37:41Z","snapshot_observed_at":"2026-08-14T03:45:52.225630Z","submitted_at":"2024-12-12T03:37:41Z","title":"Phi-4 Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.08905","snapshot_observed_at":"2026-08-06T23:41:46.670542Z","title":"Phi-4 Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.670542Z"},"links":{"cited_paper":"/paper/2412.08905","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:179b236fa0e0b74adca54288db796c1f991ee5b620f20fe1713a07fd1dbb2427","observation_id":"382cc959-016b-4019-b3a8-f4b3f9368a2f","resolution":{"observed_at":"2026-08-06T23:41:46.670542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16609","last_updated":"2023-09-28T17:07:49Z","snapshot_observed_at":"2026-08-09T21:25:20.369782Z","submitted_at":"2023-09-28T17:07:49Z","title":"Qwen Technical Report","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16609","snapshot_observed_at":"2026-08-06T23:41:46.674888Z","title":"Qwen Technical Report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.674888Z"},"links":{"cited_paper":"/paper/2309.16609","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:0ee34444364b061f20ac46288a39e49daddc718352fd37cc1841e1224cf04c12","observation_id":"07dd786d-090a-4c91-b077-ac407090fa56","resolution":{"observed_at":"2026-08-06T23:41:46.674888Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.10671","last_updated":"2024-09-10T13:25:53Z","snapshot_observed_at":"2026-08-17T11:08:48.802438Z","submitted_at":"2024-07-15T12:35:42Z","title":"Qwen2 Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.10671","snapshot_observed_at":"2026-08-06T23:41:46.679521Z","title":"Qwen2 Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.679521Z"},"links":{"cited_paper":"/paper/2407.10671","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:e749c63167d6008e2ab6fe296bb0b0b8770e9e5d57dd9a6e1b3690fdadd4a60e","observation_id":"924e3c9e-e70e-45f5-8a74-1fd68c9a246b","resolution":{"observed_at":"2026-08-06T23:41:46.679521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15115","last_updated":"2025-01-03T02:18:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-19T17:56:09Z","title":"Qwen2.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15115","snapshot_observed_at":"2026-08-06T23:41:46.685164Z","title":"Qwen2.5 Technical Report,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.685164Z"},"links":{"cited_paper":"/paper/2412.15115","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:3d9d7f4938fd0ba2ec7ede217895ba083c2437250eae9542ff8da067157365a7","observation_id":"0e8d1dfc-baea-4805-a29e-b9b498df0dea","resolution":{"observed_at":"2026-08-06T23:41:46.685164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12186","last_updated":"2024-11-12T13:24:25Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-09-18T17:57:57Z","title":"Qwen2.5-Coder Technical Report","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.12186","snapshot_observed_at":"2026-08-06T23:41:46.690422Z","title":"Qwen2.5-Coder Technical Report,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T23:41:46.690422Z"},"links":{"cited_paper":"/paper/2409.12186","citing_paper":"/paper/2506.16899"},"observation_digest":"sha256:8fbfb5bba95910e9d8bf098ba057736353cab00667fa2b70be42f9d35867842a","observation_id":"232b07dd-efe2-454f-93bf-693d6b5d6ae1","resolution":{"observed_at":"2026-08-06T23:41:46.690422Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.16899","last_updated":"2025-07-13T11:10:27Z","latest_version":2,"primary_category":"cs.CR","snapshot_observed_at":"2026-08-12T10:00:48.042354Z","submitted_at":"2025-06-20T10:46:35Z","title":"Towards Effective Complementary Security Analysis using Large Language Models"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":19,"verified_exact":2,"verified_fuzzy":8},"total_outbound_references":29},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.16899."}